< Back to news
The four AI4SMM projects will run for two years, during which Ensing aims to expand the programme with external partners and additional funding. He invites anyone interested in meeting the AI4SMM researchers, and/or collaborating on the next phase of the programme, to attend the ChemAI-event on 16 November 2023. This will showcase successful examples of machine learning implementation, aims to accelerate the use of AI in the chemical and pharma industry, and offers opportunities to engage with representatives from academics and business. 
12 November 2023
AI for Sustainable Molecules and Materials research programme
To kick-start the new Research Priority Area (RPA) of the Faculty of Science in "Artificial Intelligence for Sustainable Molecules and Materials" (AI4SMM), four projects have just been launched.
Combining the Faculty’s strengths in computer science and sustainability research, AI4SMM aims to develop and use machine learning techniques for the design of molecules and materials for a sustainable future. The projects cover topics as diverse as metamaterials for sustainable steel, and protein mixtures for sustainable food design.
Programme director Dr Bernd Ensing is very happy with the four challenging projects that the AI4SMM board selected for the programme, following a call for proposals in the Faculty. “All four fit well within the multidisciplinary AI4SMM aims and connect research groups in the different institutes of the Faculty. They are collaborative studies on topics such as developing metamaterials for sustainable steel, designing salt hydrates for energy storage, screening additives for sustainable plastics, and exploring plant protein mixtures for sustainable food design. With these exciting projects, we are off to a stellar start on our journey with the Research Priority Area.”
Join the ChemAI event
The four AI4SMM projects will run for two years, during which Ensing aims to expand the programme with external partners and additional funding. He invites anyone interested in meeting the AI4SMM researchers, and/or collaborating on the next phase of the programme, to attend the ChemAI-event on 16 November 2023. This will showcase successful examples of machine learning implementation, aims to accelerate the use of AI in the chemical and pharma industry, and offers opportunities to engage with representatives from academics and business.
The overview of the granted AI4SMM projects can be found on the website of the University of Amsterdam.
Vergelijkbaar >
Similar news items
14 November 2024
The Amsterdam Vision on AI: A Realistic View on Artificial Intelligence
In its new policy, The Amsterdam Vision on AI , the city outlines how artificial intelligence (AI) should be integrated into urban life and how it should influence the city according to its residents. This vision was developed through months of conversations and dialogues with a wide range of Amsterdammers—from festival-goers to schoolchildren, experts to novices—who shared their thoughts on the future role of AI in Amsterdam.
read more >
14 November 2024
Interview: KPN Responsible AI Lab with Gianluigi Bardelloni and Eric Postma
ICAI's interview appeared this time with Gianluigi Bardelloni and Eric Postma, they talk about the developments in their ICAI Lab.
read more >
November 14
AI pilots TLC Science: generative AI in academic education
The University of Amsterdam has launched a new project through its Teaching & Learning Centre Science, exploring how Generative AI, like ChatGPT, can enhance academic education. This pilot program at the Faculty of Science tests and evaluates various applications of GenAI in higher education.
read more >